Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction.
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| Title: | Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction. |
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| Authors: | Sánchez-Jiménez, Eduardo1, Cuevas-Chávez, Alejandra1, Hernández, Yasmín1, yasmin.hp@cenidet.tecnm.mx, Ortiz-Hernandez, Javier1, Hernández-Aguilar, José Alberto2, Martínez-Rebollar, Alicia1, Estrada-Esquivel, Hugo1 |
| Source: | Journal of Intelligent & Fuzzy Systems; Feb2026, Vol. 50 Issue 2, p584-596, 13p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192308545 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192308545 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JIFS-219376 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 584 Titles: – TitleFull: Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sánchez-Jiménez, Eduardo – PersonEntity: Name: NameFull: Cuevas-Chávez, Alejandra – PersonEntity: Name: NameFull: Hernández, Yasmín – PersonEntity: Name: NameFull: Ortiz-Hernandez, Javier – PersonEntity: Name: NameFull: Hernández-Aguilar, José Alberto – PersonEntity: Name: NameFull: Martínez-Rebollar, Alicia – PersonEntity: Name: NameFull: Estrada-Esquivel, Hugo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 50 – Type: issue Value: 2 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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